Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images.
Maziar SabouriShadab AhamedAzin AsadzadehAtlas Haddadi AvvalSoroush BagheriMohsen ArabiSeyed Rasoul ZakaviEmran AskariAli RasouliAtena AghaeeMohaddese SehatiFereshteh YousefiriziCarlos F. UribeGhasem HajianfarHabib ZaidiArman RahmimPublished in: CoRR (2024)
Keyphrases
- image classification
- pigmented skin lesions
- segmentation algorithm
- automated segmentation
- segmentation method
- edge detection
- segmentation errors
- fully automatic
- test images
- image analysis
- adaptive thresholding
- image data
- skin lesion
- segmented images
- accurate segmentation
- image regions
- processing pipeline
- multiple objects
- input image
- image features
- pixel wise
- grey level
- segmentation accuracy
- microscopic images
- grey level co occurrence matrix
- image segmentation
- image registration
- ground truth
- object recognition
- shape prior
- pixel level
- image set
- feature vectors
- image retrieval
- feature space
- textural features
- microscopy images
- image segments
- automatically segmented
- positron emission tomography
- gabor filters
- image segmentation algorithms
- unsupervised segmentation
- automatic segmentation
- computer aided
- level set
- training set
- feature extraction